ARTIFICIAL INTELLIGENCE AWARENESS

Course Description

This course provides an accessible and engaging introduction to Artificial Intelligence (AI), focusing on its core concepts, real-world applications, and broader impact on society. Students from all academic backgrounds will explore how AI shapes everyday life, with special attention to its role in education, language learning (such as platforms like Duolingo), and classroom assignments. The course highlights how AI agents are increasingly used in areas like tutoring, content generation, and personalized learning support. Through real-world examples and discussions, students will learn about the potential and limitations of AI, while also understanding key ethical issues such as fairness, privacy, and responsible use.

ARTIFICIAL INTELLIGENCE AWARENESS

Evaluation Tools (Active Term)

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Philip C. Jackson, Introduction to Artificial Intelligence, Third Edition, Dover Publications, 2019.

Learning Outcomes

1. L01 Define fundamental AI concepts, distinguish ANI from AGI, and explain why AI is transforming industries. SOLO 3.3
2. L02 Describe core AI capabilities and limitations, and identify tasks suitable for AI automation. SOLO 2.5
3. L03 Explain how AI projects are structured and recognize AI’s role in business and organizational transformation. SOLO 3.3
4. L04 Analyze how organizations adopt AI, identify roles in AI transformation, and evaluate its potential to augment or automate tasks across professions. SOLO 3.7
5. L05 Explain generative AI concepts, differentiate between prompting, fine-tuning, and RAG, and illustrate common applications (text, image, audio). SOLO 3.7
6. L06 Recognize AI’s limitations, sources of bias, and risks from adversarial manipulation, and discuss fairness, transparency, privacy, and responsible AI guidelines. SOLO 3.5
7. L07 Assess AI’s impact on jobs, workforce transitions, and future skill requirements, and analyze its effects across sectors such as education, healthcare, and governance. SOLO 4.5
8. L08 Explain different approaches to AI regulation, evaluate policy frameworks, and critically reflect on possible AI futures and their ethical and social implications. SOLO 4.75
9. L09 Explaing and Asses AI Philosophy SOLO 4.5

Program Outcomes

1. P01 PO1: To identify and use theoretical and applied knowledge as well as up-to-date/cutting edge laboratory techniques and analyses methods in the field of molecular biology and genetics.
2. P02 PO2: To identify problems related to molecular biology and genetics.
3. P03 PO3: To design and conduct experiments through hypothesis driven scientific research; and to analyze and interpret data to find solutions to molecular biology and genetics related problems.
4. P04 PO4: To work independently and as part of research group in a multidisciplinary team setting
5. P05 PO5: To apply the principles of scientific research ethics and academic integrity
6. P06 PO6: To interpret, explain and present primary scientific literature and novel findings in oral, written and visual presentation formats
7. P07 PO7: To evaluate experimental data and theoretical findings by using critical and analytical thinking techniques.
8. P08 PO8: To use the currently acceptable process of preparing research proposals and manuscripts for publishing in scientific journals.
9. P09 PO9: To apply the principles of molecular biology and genetics in generating/finding solutions to social problems / issues.
10. P10 PO10: To identify and implement environmental and laboratory safety procedures.
11. P11 PO11: To identify and apply the necessary professional skill set in projects and jobs involving independent and competitive careers in academia, industrial, medical or clinical research, science education, scientific writing and communication, health care, health care policy and civil service.

Po-Lo Matrix